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Jornal Brasileiro de Psiquiatria

Print version ISSN 0047-2085On-line version ISSN 1982-0208

J. bras. psiquiatr. vol.65 no.1 Rio de Janeiro Jan./Mar. 2016

http://dx.doi.org/10.1590/0047-2085000000097 

ORIGINAL ARTICLES

Assessing treatment response to prophylactic lithium use in patients with bipolar disorder

Avaliação da resposta terapêutica ao tratamento de manutenção com lítio em pacientes com transtorno afetivo bipolar

Luiz Fernando de Almeida Lima e Silva1 

Júlia Cunha Loureiro1 

Stephany Caroline Raposo Franco2 

Marilza de Lima Santos3 

Rodrigo Secolin3 

Iscia Lopes-Cendes3 

Clarissa de Rosalmeida Dantas1 

Claudio E. M. Banzato1 

1University of Campinas (Unicamp), Medical School, Department of Psychiatry.

2Unicamp, Medical School.

3Unicamp, Medical School, Department of Medical Genetics.

ABSTRACT

Objetive

To identify potential clinical and epidemiological predictors of long-term response to lithium treatment.

Methods

A total of 40 adult outpatients followed in an university hospital, with confirmed diagnosis of bipolar disorder and with history of lithium use for at least a six months period, had their response to this medication assessed through the use of a standardized instrument. The ALDA scale is based on retrospective clinical data, in our study assessed through a thoroughly reviewed of the medical charts, and is used to evaluate the clinical improvement with the treatment (Criterion A), corrected by the acknowledgement of possible confounding factors, such as duration of the treatment, compliance and concomitant use of additional medications (Criterion B), in order to estimate the response that can be specifically attributable to lithium.

Results

Our study found an inverse relation between the number of mood episodes with psychotic symptoms and lithium treatment outcome.

Conclusion

The results reinforce the hypothesis that lithium seems to be less efficacious in patients with bipolar disorder who present psychotic symptoms.

Key words: Bipolar disorder; psychotic disorders; lithium; treatment outcome; tobacco

RESUMO

Objetivo

Identificar potenciais preditores clínicos e epidemiológicos de resposta terapêutica ao uso prolongado de lítio.

Métodos

Um total de 40 pacientes adultos em tratamento ambulatorial em um hospital universitário, com diagnóstico confirmado de transtorno afetivo bipolar e história de pelo menos seis meses de uso de lítio, teve sua resposta a essa medicação avaliada com a utilização de um instrumento padronizado. A escala ALDA leva em consideração informações clínicas obtidas de forma retrospectiva, em nosso estudo, por meio de minuciosa revisão dos prontuários médicos, para julgar a melhora clínica obtida com o tratamento (Critério A), corrigida pela identificação de possíveis fatores confundidores, tais como duração do tratamento, adesão e uso concomitante de outras drogas (Critério B), de forma a estimar a resposta que pode ser atribuída especificamente ao uso do lítio.

Resultados

Nosso estudo encontrou uma relação inversa entre o número de episódios de humor com a presença de sintomas psicóticos e o desfecho no tratamento com lítio.

Conclusão

Esses resultados reforçam a hipótese de que o lítio parece ser menos eficaz em pacientes com transtorno afetivo bipolar que manifestam sintomas psicóticos.

Palavras-Chave: Transtorno bipolar; transtornos psicóticos; lítio; resultado do tratamento; tabaco

INTRODUCTION

Bipolar disorder (BD) is a chronic and severe mental illness, with an estimated prevalence of 1% in the general population1-4. The first mood episodes usually appears in adolescence or early adulthood, between 20 and 30 years of age5, and the most prevalent clinical form of the disorder is the occurrence of mania or hypomania, interspersed with episodes of depression and periods of euthymia. Taking in account patients with subthreshold mood symptoms, the prevalence of bipolar spectrum disorders in the community may rise up to 6.4%6. The disorder is strongly associated with reduced quality of life, high degree of impairment, disability and higher health care costs7-9. Psychiatric comorbidity in BD is also significant, with a lifetime prevalence of 65% for other Axis-I (DSM) disorders10.

Since the famous paper from Cade (1949), in which he describes the use of lithium in patients with BD, many studies have explored the pharmacological treatment options for acute mania, depression, and BD maintenance. Still, considering the myriad of treatment alternatives with Food and Drug Administration (FDA) approval, lithium even now stands as a major option in bipolar maintenance11. Lithium received the FDA approval for the prophylactic treatment of BP in 1974, but only in 1994 the first study to assess its efficacy using a control group was published12. Later, in 2000, Bowden et al., published the first randomized double blind study with lithium against placebo13.

In this context, the attempts to identify possible predictors to lithium response date back to the first publications involving its prophylactic use in mood disorders. Since then, many studies explored the predictive power of a number of variables, with controversial results14. Nevertheless, available data in the literature suggest that lithium therapy seems to be more effective in patients with bipolar disorder presenting the so called “core phenotype”, that is, with an episodic course, family history of BD, family history of lithium response, absence of rapid cycling and low comorbidity rate15. Furthermore, patients with atypical features, including mood incongruent psychosis, mixed states, rapid cycling, and the presence of psychiatric comorbidity, seem to have lower rates of response to lithium therapy16-19.

Concerning specifically the presence of psychotic symptoms in BD, more than half of the patients with BD develop psychotic symptoms at some point of their lives18, and the hypothesis that patients with psychotic features, like paranoid delusion and other formal thought disorder, have worst response to prophylactic lithium is old17. However, the attempts to confirm the predictive value of psychotic symptoms on the outcome of patients with BD and treated with lithium showed mixed and inconclusive results14.

And important aspect involving the predictive value of psychotic symptoms in BD concerns the definition of psychosis. In the most frequently adopted model, the psychotic symptoms are divided in mood congruent or mood incongruent. Some data in the literature point to worst treatment outcomes when mood incongruent psychosis is present14, what occurs in up to 55% of the patients with BD20.

Nevertheless, the literature shows no universally accepted definition of mood incongruent psychosis and even the identification of psychotic features in patients with BD may be challenging21. The most commonly adopted definition includes symptoms not directly related to mood polarity, like the presence of paranoid and reference delusions, insertion of thoughts, and control delusions20,22,23. Mood incongruent psychosis is associated with worst psychosocial outcomes, possibly because it is related to a higher overall severity of the disorder20, though diagnostic issues (such as differential diagnosis with schizophrenia spectrum disorders) may also play a role. Data in the literature also suggest that these patients have a poor response to prophylactic lithium24.

This study aims to evaluate, using a standardized method (the ALDA scale), the therapeutic response to lithium in the maintenance treatment of BD, as to assess possible clinical predictors of lithium response. It is important to notice that the present paper was conceived within the framework of a larger genetic study, the ConLiGen, a Genome-wide association study (GWAS) with the objective to determine the phenotype of lithium response, and of which we represent the Brazilian branch. The results presented here are, therefore, a preliminary analysis of the clinical and sociodemographical data of the studied population. The ALDA scale is the instrument adopted by the ConLiGen to determine lithium response.

METHODS

From August 2013 to August 2014, outpatients consecutively seen at the Unicamp General Hospital Psychiatric Clinic with confirmed diagnosis of bipolar disorder (according to DSM-IV) and history of current or previous lithium use were identified by one of the researchers (LFALS) during their routine psychiatric consultation and invited to participate in the study (which implied in contributing with a blood sample for genetic analysis). Only patients with age ≥ 18 years and who used lithium for at least a 6 months period were included. Patients with intellectual disability, neuropsychiatric symptoms possibly related to clinical illness, or inability to understand the study objectives and to freely consent to participate were excluded.

The 40 patients who consented to participate had their medical charts thoroughly reviewed in order to collect clinical and sociodemographic data. We used the collected information to evaluate lithium response in the maintenance treatment of BD, and to explore possible predictors of lithium response.

Studied variables

Response to lithium in the maintenance treatment of bipolar disorder

It can be challenging to evaluate improvement in patients treated in a clinical scenario and not following a strict research protocol. For this purpose, the ALDA scale is considered a valuable tool, and as far as our knowledge goes, is the only instrument that allows to retrospectively assess clinical improvement with lithium treatment in a standardized manner.

The ALDA scale is based on retrospective clinical data and is divided in two major criteria, namely A and B. Criterion A is used to determine the relation between clinical improvement and the treatment (illness activity while in lithium use), with scores ranging from 10 (complete response) to 0 (no change or worsening).

Criterion B concerns possible confounding factors, and is used to establish whether there is a causal relationship between clinical improvement and the treatment. Score 0, 1 or 2 points for each item: number of episodes before the treatment (B1), frequency of episode before the treatment (B2), duration of the treatment (B3), compliance during period(s) of stability (B4), and use of additional medications during the periods of stability (B5).

The ALDA scale total score (TA) is obtained by subtracting B from A. This way, it allows a categorical approach (above or below a cut-off score), or a dimensional approach in the assessment of clinical improvement with lithium treatment25,26. The Brazilian version of the ALDA scale adapted to Portuguese from the original English instrument within the context of this study is provided in the Appendix 1.

To use the ALDA scale, the first step is to determine the longest period in which lithium was used and well documented, with information regarding clinical improvement, frequency and duration of mood episodes, total duration of the treatment, compliance during treatment (including drug levels within therapeutic range), and description of additional medication use, including antidepressants and antipsychotics.

In our study, two different researchers (LFALS, JCL) were trained using the clinical vignettes from The International Consortium on Lithium Genetics (ConLiGen), in order to calibrate the scoring of the scale; after that they reviewed the clinical charts. This procedure generated a single data bank, including all the 40 patients, on which both the researchers based their independent score of the ALDA scale. Later they debated about their individual ratings aiming for a consensus score for each of the ALDA scale items. These consensus scores were used together with the other variables (described below) to explore possible predictors of lithium response.

Clinical and sociodemographical variables

Demographic and clinical variables were also obtained in this process such as gender, education, age of onset and frequency of mood episodes, presence and frequency of psychotic symptoms, suicide attempts, hospitalization, electroconvulsive therapy (ECT), use of tobacco, alcohol and other drugs, and family history of mental disorder.

The timeframe considered in this study was from the onset of the illness (that is, first episode of depression or mania) until the beginning of the interval chosen for the scoring of the ALDA scale. This approach was meant to test the predictive power of the studied variables in regard to the lithium response.

To determine the relation between these variables and the scores of the ALDA scale, all data was transformed in ranks and submitted to a logistic regression and linear regression (univariate and multivariate models). The significance level adopted is this study was of 5%.

This study was approved by the Unicamp Research Ethics Review Board and a signed consent form was obtained from all patients prior to entering the study.

RESULTS

Sample description

Of the 40 patients with BD assessed in this study, 15 were males and 25 were females, with a mean age of 40.03 (± 3.08) years. Forty percent never got married, and 57.5% never had children. Regarding education, most of our patients completed high school (28.21%) or had incomplete superior education (23.08%), with a mean of 9.72 (± 4.08) years of scholarship. Only 42.5% could be considered economically active.

Clinical variables

The mean age of onset of mood symptoms was 24.18 (± 9.18) years, while the length of the disorder until the chosen period for scoring the ALDA scale was of 12.85 (± 9.18) years. Manic symptoms manifested slightly earlier than depressive symptoms (26.55 vs. 28.14 years), but mixed symptoms showed the smaller mean age of onset, of 24.55 years. A detailed description is shown on Table 1.

Table 1 Clinical features of the mood episodes 

Variable N* Mean S.D. Median Min Max
Age of onset of mood symptoms 40 24.18 9.18 22.00 12.00 49.00
Age at the beginning of the analyzed ALDA period 40 34.90 13.22 32.00 16.00 68.00
Number of manic episodes 40 3.23 3.08 2.00 0.00 13.00
Age of first manic episode 38 26.55 10.50 25.00 14.00 57.00
Number of hypomanic episodes 40 0.53 0.85 0.00 0.00 3.00
Age of First hypomanic episode 13 28.31 9.89 23.00 16.00 44.00
Number of depressive episodes 40 1.53 1.95 1.00 0.00 10.00
Age of first depressive episode 28 28.14 12.23 26.50 12.00 62.00
Number of mixed episodes 40 0.45 1.40 0.00 0.00 7.00
Age of first mixed episode 06 24.50 4.28 22.00 21.00 30.00
Total number of mood episodes 40 5.75 4.46 4.00 1.00 20.00

* N < 40 are due to the nonoccurrence of a given phenomenon or, in some cases, to missing data.

Concerning the manifestation of psychosis in BD, our study found that 67.5% of the patients (N = 27) presented with psychotic symptoms at some point of their clinical course, including delusions, hallucinations and severe disorganized behavior. The mean number of mood episodes with psychotic features in this group of patients was of 2.77 (± 2.62), with median of 2.00.

In the majority of the patients who presented psychotic symptoms at some point (62.96%), such symptoms occurred exclusively on manic episodes; only in 3.7% of the cases this symptoms occurred exclusively in depressive episodes. In 33.33% of the patients, the occurrence of psychotic features happened in both mania and depression. Most of the patients (75.86%) had at least one episode with mood incongruent psychotic symptoms, that is, paranoid and reference delusions, auditory hallucinations and severe disorganized behavior.

Among the studied variables, there are those that point to a more severe clinical course, like history of suicide attempt. In our sample, 22.5% of the patients attempted suicide. The mean age of the first suicide attempt was 26.89 years (± 12.81). In 28.57% of the cases, the patient had clinical complications with the need to receive medical support.

Other important evidence of clinical severity is the need for hospitalization. In the vast majority of the cases (87.5%; N = 35), the patient was hospitalized at least once, with a mean of 3.4 (± 2.51) hospital admissions per patient, and median of 2.0. Finally, 25% had history of ECT treatment for mania, depression or mixed states.

Concerning the presence of comorbidity, at least one clinical disease was present in 40% of the cases, and at least one other psychiatric disorder was found 57.5% of the cases. Substance use disorders, including abusive use and dependence identified by the assistant doctor and reported in the medical chart, had a prevalence of 7.69% for alcohol related disorders and 10.0% for other drugs. History of current or previous tobacco use had a higher prevalence, of about one third of the patients (31.58%).

In relation to the instituted maintenance treatment for BD, the vast majority of the patients had history of current or previous use of more than one pharmacological agent beside lithium. The most frequent association was with antipsychotics (95.0%), followed by anticonvulsants (80.0%), benzodiazepines (60.0%) and antidepressants (42.5%).

Finally, concerning the presence of family history of mental disorder, it is interesting to notice that about 80% of the patients had family history of mood disorders, 20% for psychotic disorders and 42.5% for some other mental disorder, specified or not.

Lithium response

The consensus scores obtained for each of the ALDA scale items are presented in the Table 2.

Table 2  Consensus Scores for the ALDA Scale 

Variable N Mean S.D. Median
ALDA A 40 7.00 2.25 7.00
ALDA B1 40 0.50 0.68 0.00
ALDA B2 40 0.38 0.67 0.00
ALDA B3 40 0.53 0.64 0.00
ALDA B4 40 1.05 0.81 1.00
ALDA B5 40 1.78 0.58 2.00
ALDA BT 40 4.23 1.79 4.00
Total ALDA (A-B) 40 2.78 3.08 3.00

The mean duration of the selected intervals to score the scale was 37.35 months (± 39.74), with a median of 24.5 months.

Univariate and multivariate analysis

Despite the large number of variables we have analyzed, only some of them were chosen to integrate the multivariate model. This choice was based in their distribution in the studied population and data regarding possible predictors to lithium response in the literature. The selected variables are exposed in Tables 3 and 4.

Table 3  Clinical predictors of lithium response – univariate linear regression analysis (N = 26) 

Variable N DF Parameter estimate Standard error T value PR > |T|
Gender 26 1 0.93464 3.17072 0.29000 0.77070
Years of scholarship 26 1 -0.11763 0.33077 -0.36000 0.72520
Age of onset 26 1 0.25139 0.16900 1.49000 0.14990
Duration of the disorder (Before ALDA) 26 1 -0.00260 0.01380 -0.19000 0.85210
Number of manic episodes 26 1 -0.24399 0.46058 -0.53000 0.60120
Age of first manic episode 26 1 0.04205 0.15313 0.27000 0.78620
Number of depressive episodes 26 1 -0.11900 0.69764 -0.17000 0.86600
History of suicide attempt 26 1 4.49624 3.28098 1.37000 0.18320
Presence of psychotic symptoms (yes or no) 26 1 -3.14379 3.11096 -1.01000 0.32230
Number of mood episodes with psychotic symptoms 26 1 -0.95286 0.47727 -2.00000 0.05730
History of tobacco use 25 1 6.19481 2.73883 2.26000 0.03350
Family history of psychosis 26 1 -6.94318 3.94131 -1.76000 0.09090
History of electroconvulsive treatment 26 1 -0.29323 3.40640 -0.09000 0.93210

Table 4 Patients with total b scores > 4 – Multivariate linear regression analysis (N = 23)* 

Variable Parameter estimate Standard error Type II SS F value PR > F R2 parcial
Number of mood episodes with psychotic symptoms -1.24241 0.40396 314.23522 9.46 0.0060 0.2502
History of tobacco use 7.66608 2.41712 334.15917 10.06 0.0048 0.2208

* Selection criteria: stepwise.

Concerning the analysis involving the TOTAL ALDA scores (A minus B), we highlight that only four patients had TA ≥ 7, the most common cut-off score adopted in studies that use the scale. This distribution did not allow the creation of two distinct groups (responders vs. non-responders). Thus, we adopted a different approach to the data, and used the scores of Criterion A as a continuous variable with the exclusion of patients with TB scores > 4, a strategy also adopted by the ConLiGen27. As a result, we have obtained a subgroup of 26 patients, which was analyzed. The rationale for this approach is that patients with a high prevalence of confounders, that is, with high TOTAL B scores, can compromise the inference of causality between clinical improvement and lithium use.

The multivariate analysis (N = 23), showed that the number of mood episodes with psychotic symptoms had and inverse relation with clinical improvement, accessed through criterion A of the ALDA scale (PE -1.24241). On the other hand, we have found a direct relation between clinical improvement and history of current or previous tobacco use (PE 7.66608).

DISCUSSION

The available data in the literature suggests that the prevalence of BD is similar in males and females28, but the clinical presentation and the received treatment can differ significantly between sexes. Female patients are treated more often with antidepressants, benzodiazepines, neuroleptics, lamotrigine and psychotherapy than their male counterparts (52). In our sample, concerning lithium response, we have not found difference between male and female patients, which is in consonance with the data in the literature29,30.

As for the age of onset of mood symptoms, it is considered one of the variables with potential do discriminate patients with BD in clinical subgroups. Nevertheless, the validity of this age based groups is uncertain, and the criteria used to discriminate the patients are not consensual5,31. We found no relation between age of onset and lithium response.

Concerning the number and frequency of mood episodes, data in the literature suggest that a higher duration of the disorder or a higher frequency (number) of mood episodes is directly related with morbidity, including higher rates of mood cycling and length of the mood episodes32. However, other studies like the systematic review conducted by Kleindienst et al. found no relation between the number of mood episodes and lithium response in patients with BD14. Our results also found no relation between the number of episodes of mania, depression, hypomania or mixed states and the clinical response to prophylactic lithium.

Bipolar disorder is strongly related with premature mortality, with rates up to 2-3 times higher than in general population33. Suicide is the main cause of early mortality in this patients34. During the course of their lives, approximately 50% of the patients with bipolar disorder attempt suicide35, and between 11% and 19% commit suicide36. In our study, 22.5% of the patients attempted suicide, which is lower than the rates reported in the literature. We have not found positive or negative relation between history of suicide attempt and clinical improvement with prophylactic lithium.

We have also explored the relation of history of electroconvulsive therapy (ECT) and clinical improvement with lithium use. ECT can be a valuable therapeutic option in patients with BD, in mania or depressive episodes that are refractory to pharmacotherapy. In our sample, 25% of the patients had history of ECT treatment, prevalence similar with the one found in the literature. We did not found any relation between lithium treatment improvement and history of ECT.

Finally, an interesting finding of our study was the positive relation between current or previous tobacco use and clinical improvement with lithium treatment. Prevalence of tobacco use among patients with BD varies between 31.2%37 to 66%38. In our study the prevalence was of 31.58%. This result conflicts with literature data in which the use of tobacco is more frequently associated with worst treatment outcomes and higher recurrence and severity rates in patients with BD37.

It is interesting to notice that both tobacco alkaloids and lithium reduce the activity of glycogen-synthase-kinase 3 (GSK3), through the increase of its phosphorylation, thus modulating cellular inflammatory and apoptotic pathways39,40. Nonetheless, we did not perform a detailed characterization of tobacco use in the assessed patients and for this reason we consider this finding as a secondary outcome which would demand a different study design to be properly investigated.

Psychotic symptoms

Our study found, in the multivariate model, an inverse relation between the number of mood episode with psychotic symptoms and clinical improvement with lithium treatment. This finding reinforces the hypothesis that lithium treatment tends to be less efficacious in these patients16-19. It is important to notice that our variable does not discriminate between mood incongruent and congruent psychosis, but 76% of the assessed patients with psychotic features had, at some point of their clinical course, mood incongruent symptoms.

It is not clear if the presence of this symptoms indicate a particular form of BD or simply a non-specific manifestation that follows the subjacent mood symptoms41. It is a fact though, that psychotic features indicate a severe clinical presentation of the mood disorder, and is related with worst scores in the PANSS, YMRS and GAS scales18. Therefore, a possible explanation to this results concern the phenotype of the studied population, since what is labeled as bipolar disorder today is a significantly larger and more heterogeneous group than the manic-depressive disorder patients of the recent past42.

Our study has a number of limitations. First, as any other study in which patients are retrospectively assessed through the review of their medical charts, the obtained data is limited to the quality of these records, and the occurrence of missing data or poor descriptions of the patients’ phenomenology during mood episodes are not rare. The sample size (n = 40) is also small, what can limit the predictive power of our conclusions. Hence, it is possible that the relation between psychosis and worse outcome with lithium treatment is incidental, and we could be dealing with a sample of patients affected with more severe forms of mental disorder.

Finally, we believe future studies exploring the relation between smoking habit and BD, with larger sample sizes and a more refined description of tobacco use, could lead to some interesting findings, possibly with implication in the clinical treatment of these patients.

CONCLUSION

We found that patients with higher number of mood episodes with psychotic symptoms had worse response to lithium maintenance treatment, what is in consonance with the available data in the literature.

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APPENDIX 01

– BRAZILIAN VERSION OF THE ALDA SCALE

Received: September 8, 2015; Accepted: February 4, 2016

Address for correspondence: Luiz Fernando de Almeida Lima e Silva. Rua Tessália Vieira de Camargo, 126. Cidade Universitária “Zeferino Vaz”, Barão Geraldo. 13083-970 – Campinas, SP, Brazil. Telephone: (+55 19) 99635-6540. E-mail: luizfals@hotmail.com

INDIVIDUAL CONTRIBUTIONS

Study Design (LFALS, CEMB, CRD, ILC, RS); Data Collection (LFALS, JCL, SCRF, MLS); Charts Review (LFALS, JCL, SCRF); Scoring of the ALDA scale (LFALS, JCL); Database Formulation and Feeding (LFALS, JCL); Statistical Analysis (LFALS, CEMB, CRD); Analysis and Interpretation of the Data (LFALS, CEMB, CRD); Literature Review (LFALS); Article Redaction (LFALS, CEMB, CRD); Intellectual Content Review (CEMB, CRD, ILC); Article Review and Approval of the Final Version (LFALS, CEMB, CRD, ILC, JCL, RS, SCRF, MLS).

CONFLICTS OF INTEREST

The authors have no conflicts of interest to declare.

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